Gail Model for Breast Cancer Risk
Estimates risk for breast cancer based on demographic and clinical data.
This calculator includes inputs based on race, which may or may not provide better estimates; this calculator can be run with Race as “Unknown,” but users should know this defaults to the “White” option. Our evidence section reviews some of the issues with Race in this model. See here for more on our approach to addressing race and bias on MDCalc.
The Gail Model is for use in women with no history of breast cancer, DCIS or LCIS. Other tools may be more appropriate for women with known mutations in BRCA1, BRCA2, or other hereditary syndromes associated with breast cancer. See the Evidence section for more information.
Result:
Mitchell Gail, MD, PhD, is an adjunct professor at Johns Hopkins University and a principal investigator at the National Cancer Institute Division of Cancer Epidemiology & Genetics, Biostatistics Branch. He is a former president of the American Statistical Association. He has won numerous awards, most notably the American Cancer Society Award for Research Excellence in Cancer Epidemiology and Prevention. His research focuses on creating models for determining absolute risk of diseases.
- Akiko Chiba, MD